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A beginner's guide to setting up a development environment on macOS
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
👩🏻🏫 Learn Apollo - A hands-on tutorial for Apollo GraphQL Client (created by Graphcool)
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
This is a code repository for the corresponding video tutorial. Using React, Node.js, Express & MongoDB you'll learn how to build a Full Stack MERN Application - from start to finish. The App is called "Memories" and it is a simple social media app that allows users to post interesting events that happened in their lives.
📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
WebGL lessons that start with the basics
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
- llm
- reinforcement-learning
- algorithm
- nlp-machine-learning
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
Examples and tutorials to help developers build AI systems
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
TranslatedOpenClaw Chinese tutorial (4,500+ Stars · printed book published): installation, configuration, Skills, Feishu integration, and pitfalls to avoid | For the author's new GPT-6 / Codex / Claude Code projects, see the top of the README
- openclaw
- openclaw-skills
- agent-skills
- ai-agent
Full Stack Web Development with Flask.
Guia/Tutorial rápido do WSL2 + Docker
- windows-subsystem-for-linux
- windows-subsystem-linux
- wsl
- wsl-environment
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
Translated🇨🇳 Complete collection of OpenClaw use cases in Chinese | 50 real-world scenarios | China-specific cases + adaptations of overseas cases for use in China | Office automation · Content creation · Operations & maintenance · AI assistants · Knowledge management | Beginner-friendly
- ai-agent
- ai-assistant
- ai-automation
- ai-tools
A description of the conceptual model of React without implementation burden.
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)